Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117933
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorPeng, Yen_US
dc.creatorWang, Zen_US
dc.creatorChen, Aen_US
dc.date.accessioned2026-03-06T05:59:03Z-
dc.date.available2026-03-06T05:59:03Z-
dc.identifier.issn0306-2619en_US
dc.identifier.urihttp://hdl.handle.net/10397/117933-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectBranch-and-priceen_US
dc.subjectOperational benefitsen_US
dc.subjectSolar electric busen_US
dc.subjectVarying PV gainsen_US
dc.subjectVehicle scheduling problemen_US
dc.titleBenefiting from solar : optimal scheduling for solar electric buses with onboard PV auxiliary poweren_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume408en_US
dc.identifier.doi10.1016/j.apenergy.2026.127360en_US
dcterms.abstractSolar electric buses (SEBs), which install rooftop solar panels on battery electric buses (BEBs), harness photovoltaic (PV) electricity generated from solar radiation during in-motion and parking periods. The onboard PV system provides auxiliary power for SEBs in addition to the primary on-site charging. Particularly, varying PV gains greatly affect Li-ion battery consumption (LBC), requiring a schedule to avoid running out of Li-ion batteries while covering trips. Meanwhile, the schedule also affects PV gains in terms of parking periods and itinerary-specific deductions during in-motion processes. This study contributes to the vehicle scheduling problem (VSP) of SEBs, and a SEB-VSP model is developed on the basis of an underlying network, while quantitatively examining the operational benefits of installing solar panels. This model endogenously involves vehicle-trip assignment, varying PV gains, and on-site charging for Li-ion batteries. The branch-and-price algorithm is employed to solve this problem, wherein the pricing problem can be solved using a customized labeling algorithm. Heuristic approaches are applied over the branch-and-bound (B&B) tree to rapidly find high-quality integer solutions. The methodology is tested using real-world information on bus routes and solar radiation metrics in Hong Kong. The results show that more LBC is needed during the initial and end of operation periods. To collect more PV gains, SEBs favor serving trips with longer layovers in the scheduling phase. Additionally, the comparative findings underscore the operational benefits of adopting SEBs, mainly attributed to reduced charging detours.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationApplied energy, 1 Apr. 2026, v. 408, 127360en_US
dcterms.isPartOfApplied energyen_US
dcterms.issued2026-04-01-
dc.identifier.scopus2-s2.0-105028161831-
dc.identifier.eissn1872-9118en_US
dc.identifier.artn127360en_US
dc.description.validate202603 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG001094/2026-02-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work described in this paper was jointly supported by the Project of Strategic Importance (1-ZE0A) and the Research Institute of Sustainable Urban Development (1-BBG1 and 1-BBWW) at the Hong Kong Polytechnic University, Hong Kong. Their support is gratefully acknowledged.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2028-04-01en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2028-04-01
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